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Shiny tool implementations of the model from the eLife article: An in silico FSHD muscle fibre for modelling DUX4 dynamics and predicting the impact of therapy.

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in-silico-FSHD-muscle-fiber-tools

Shiny tool implementations of the model from the eLife article: An in silico FSHD muscle fibre for modelling DUX4 dynamics and predicting the impact of therapy (https://elifesciences.org/articles/88345). These tools allow the pre-screening of theraputic strategies via the modification of model parameters.

Web applications of the tools are hosted at:

  1. Compartment Models: https://crsbanerji.shinyapps.io/compartment_models/
  2. Cellular Automaton: https://crsbanerji.shinyapps.io/ca_shiny/
  3. Survival Analysis: https://crsbanerji.shinyapps.io/survival_sim/

Alternatively, clone this repository and open an R terminal in the directory of the shiny app of interest. Run ui.r and server.r to create the objects ui and server. Then run shinyApp(ui, server) to open a local server. Use install.packages() to install any required packages. Tested on R version 4.2.3.

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Shiny tool implementations of the model from the eLife article: An in silico FSHD muscle fibre for modelling DUX4 dynamics and predicting the impact of therapy.

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